realme RMX6688
Geekbench AI Score
1168
Single Precision Score
9297
Half Precision Score
12530
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | November 14 2025 01:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX6688 |
| Model ID | realme RMX6688 |
| Motherboard | k6991v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.73 GHz |
| Memory Information | |
|---|---|
| Size | 15.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1165
216.7 IPS |
|
|
Image Classification (HP)
|
100% |
5209
968.8 IPS |
|
|
Image Classification (Q)
|
99% |
13235
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4963
80.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2120
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10504
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21708
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
88319
103.5 IPS |
|
|
Object Detection (SP)
|
100% |
730
57.9 IPS |
|
|
Object Detection (HP)
|
100% |
5635
446.9 IPS |
|
|
Object Detection (Q)
|
86% |
6856
551.5 IPS |
|
|
Face Detection (SP)
|
100% |
3610
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
14820
176.1 IPS |
|
|
Face Detection (Q)
|
97% |
15867
189.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
728
5.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
22371
172.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
37649
357.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2490
3.20 IPS |
|
|
Style Transfer (HP)
|
100% |
67483
86.8 IPS |
|
|
Style Transfer (Q)
|
98% |
231932
299.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2844
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12221
451.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
36824
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
139
186.0 IPS |
|
|
Text Classification (HP)
|
100% |
2562
3.42 KIPS |
|
|
Text Classification (Q)
|
93% |
2603
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (HP)
|
100% |
2180
37.5 IPS |
|
|
Machine Translation (Q)
|
60% |
423
9.53 IPS |
